Abstract. Vehicular emission is an important source of air pollutants in urban cities in the Pearl River Delta (PRD) region of South China. In order to study the impact of evaporative loss of vehicular fuel on air quality, several commonly used fuel samples were collected in four main cities in the PRD region – Hong Kong, Guangzhou, Macau and Zhuhai, and analyzed for their volatile organic compounds (VOCs) composition. Source profiles of vapors of the vehicular fuels used in these cities were constructed and are believed to be the first reported for the PRD region. The C8-C10 hydrocarbons were the main constituents of diesel. Different from diesel, gasoline used in the PRD region was mainly comprised of lighter C4-C7 hydrocarbons, with toluene and i-pentane being the two most abundant species. The toluene content in the Hong Kong and Macau gasoline samples were higher than that in Guangzhou and Zhuhai, while the reverse was true for the benzene content. The benzene levels in Guangzhou and Zhuhai exceeded the maximum allowable benzene levels for Mainland China unleaded gasoline. Liquefied Petroleum Gas (LPG) samples were collected only in Hong Kong and were comprised mainly of n-butane, propane and i-butane. Traffic samples indicated that evaporative loss and vehicular combustion were the primary contributors to elevated VOC levels in roadside atmospheres. Significant i-pentane and toluene concentrations were observed in roadside atmospheres in all four cities. Ratio of i-pentane in gasoline vapors to that in roadside samples were calculated and this showed that the degree of evaporative loss were higher in Guangzhou and Zhuhai than that in Hong Kong and Macau. We suggest the difference is due to the better maintenance and more new cars in Hong Kong and Macau. From tunnel samples collected in Hong Kong in two different years, we found that the relative amount of propane, i-butane, and n-butane increased between 2001 to 2003, consistent with the 40% increase in LPG fueled vehicles. Propane to butanes ratios were calculated for LPG samples and tunnels samples, and the comparable ratios illustrated the LPG leakages from LPG fueled vehicles crossing the tunnel.
<strong class="journal-contentHeaderColor">Abstract.</strong> In this study, we present a novel approach for assessing nearshore seepage atmospheric emissions through modeling of air quality station data, specifically a Gaussian plume inversion model. A total of 3 decades of air quality station meteorology and total hydrocarbon concentration, THC, data were analyzed to study emissions from the Coal Oil Point marine seep field offshore California. THC in the seep field directions was significantly elevated and Gaussian with respect to wind direction, <span class="inline-formula"><i>θ</i></span>. An inversion model of the seep field, <span class="inline-formula"><i>θ</i></span>-resolved anomaly, THC<span class="inline-formula"><sup>â²</sup></span>(<span class="inline-formula"><i>θ</i>)</span>-derived atmospheric emissions is given. The model inversion is for the far field, which was satisfied by gridding the sonar seepage and treating each grid cell as a separate Gaussian plume. This assumption was validated by offshore in situ data that showed major seep area plumes were Gaussian. Plume total carbon, TC (TCâ<span class="inline-formula">=</span>âTHCâ<span class="inline-formula">+</span>âcarbon dioxide, CO<span class="inline-formula"><sub>2</sub></span>, <span class="inline-formula">+</span>âcarbon monoxide), 18â% was CO<span class="inline-formula"><sub>2</sub></span> and 82â% was THC; 85â% of THC was CH<span class="inline-formula"><sub>4</sub></span>. These compositions were similar to the seabed composition, demonstrating efficient vertical plume transport of dissolved seep gases. Air samples also measured atmospheric alkane plume composition. The inversion model used observed winds and derived the 3-decade-average (1990â2021) field-wide atmospheric emissions of 83â400â<span class="inline-formula">±</span>â12â000âm<span class="inline-formula"><sup>3</sup></span>âTHCâd<span class="inline-formula"><sup>â1</sup></span> (27âGgâTHCâyr<span class="inline-formula"><sup>â1</sup></span> based on 19.6âgâmol<span class="inline-formula"><sup>â1</sup></span> for THC). Based on a 50â:â50 air-to-seawater partitioning, this implies seabed emissions of 167â000âm<span class="inline-formula"><sup>3</sup></span>âTHCâd<span class="inline-formula"><sup>â1</sup></span>. Based on atmospheric plume composition, C<span class="inline-formula"><sub>1</sub></span>âC<span class="inline-formula"><sub>6</sub></span> alkane emissions were 19, 1.3, 2.5, 2.2, 1.1, and 0.15âGgâyr<span class="inline-formula"><sup>â1</sup></span>, respectively. The spatially averaged CH<span class="inline-formula"><sub>4</sub></span> emissions over the <span class="inline-formula">â¼</span>â6.3âkm<span class="inline-formula"><sup>2</sup></span> of 25â<span class="inline-formula">Ã</span>â25âm<span class="inline-formula"><sup>2</sup></span> bins with sonar values above noise were 5.7â<span class="inline-formula">µ</span>Mâm<span class="inline-formula"><sup>â2</sup></span>âs<span class="inline-formula"><sup>â1</sup></span>. The approach can be extended to derive emissions from other dispersed sources such as landfills, industrial sites, or terrestrial seepage if source locations are constrained spatially.